Role Description FindTutors is seeking empathetic Emotional Intelligence Tutors in Sheffield to support students in developing self-awareness, empathy, and interpersonal skills. Lessons can be online or face-to-face. - Deliver engaging lessons on emotional intelligence skills. - Help students build confidence and resilience. - Adapt sessions to meet individual needs. - Encourage personal growth and positive communication. Qualifications - Interest or knowledge in emotional intelligence/personal development. - No prior tutoring experience required. - Compassionate, patient, and supportive. - Able to teach online or in person. Benefits - Flexible working hours. - Pay between £20–£40 per hour. - Teach from anywhere in the UK. - Access to students seeking personal development support. Company Description

• Analyze behavioral, clinical, and operational data from SaMD usage. • Develop dashboards, reports, and statistical models for internal and external stakeholders. • Collaborate with AI, product, and clinical teams to define data-driven KPIs. • Apply statistical techniques to A/B testing, retention analysis, and cohort modeling. • Ensure data privacy and compliance with regulatory frameworks.

• Deliver and implement advanced secondary analyses of EMR and claims data to support observational epidemiological studies • Design and execute analyses for real-world observational studies with no intervention • Provide expert input and recommendations on study design, data partner selection, and Real-World Data (RWD) best practices • Collaborate with internal and external teams to evaluate the strengths and limitations of RWD sources for respiratory research • Independently design and build analytical solutions for complex healthcare datasets • Develop, validate, and document analytical methods and models using SQL (required), R, and Python • Apply advanced statistical methods (e.g., regression models, Cox regression, Kaplan-Meier survival analysis) to generate robust insights • Contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations

• Design NLP pipelines for document classification • Extract dynamic entities without relying on closed ontologies • Model relationships and rules (if-then rules, exceptions, cross-references) • Combine statistical ML with LLMs • Validate results using statistical and semantic metrics.